ONLINE JOB PORTAL USING DJANGO

Our current generation uses the internet for everything right from shopping to getting hired. In this project, we attempt to address and minimize the gap between the job seeker and the recruiter through this ONLINE JOB PORTAL (Web Application) using python Django. This is done by considering details of both the job seeker and the recruiter and by applying a variety of filters to satisfy their requirements. Job seekers can search for vacancies according to their qualifications, skills, and experience as well as a recruiter can easily find suitable and eligible candidates using the job seeker’s resume and profile details. In addition to this, there will be an administrator to manage and authenticate the system services. We are using MVT, a software designing architecture, to design this system. In the existing system, they have the book store feature, where users can access books based on their requirements but in our project, we are providing informative videos on how to face interviews and videos regarding their career necessities; the existing system provides updates on new job availabilities posted (within 2–3 days) but we are going to provide updates on all job availabilities posted within the past 15 days along with their opening and closing dates and also add the feature of detecting the search errors using LIKE operator (pattern matching) and string matching algorithm

QUANTITATIVE PHYTOCHEMICAL ANALYSIS OF BIOPHYTUM

published quarterly. The aim of IJPBS is to publish. peer reviewed research and review articles rapidly without delay in the developing field of pharmaceutical and biological science